
<h1><span class="yiyi-st" id="yiyi-12">numpy.column_stack</span></h1>
        <blockquote>
        <p>原文：<a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.column_stack.html">https://docs.scipy.org/doc/numpy/reference/generated/numpy.column_stack.html</a></p>
        <p>译者：<a href="https://github.com/wizardforcel">飞龙</a> <a href="http://usyiyi.cn/">UsyiyiCN</a></p>
        <p>校对：（虚位以待）</p>
        </blockquote>
    
<dl class="function">
<dt id="numpy.column_stack"><span class="yiyi-st" id="yiyi-13"> <code class="descclassname">numpy.</code><code class="descname">column_stack</code><span class="sig-paren">(</span><em>tup</em><span class="sig-paren">)</span><a class="reference external" href="http://github.com/numpy/numpy/blob/v1.11.3/numpy/lib/shape_base.py#L278-L317"><span class="viewcode-link">[source]</span></a></span></dt>
<dd><p><span class="yiyi-st" id="yiyi-14">将1-D数组作为列堆叠到2-D数组中。</span></p>
<p><span class="yiyi-st" id="yiyi-15">取一个1-D数组的序列，并将它们作为列堆叠以形成单个2-D数字组。</span><span class="yiyi-st" id="yiyi-16">2-D数组按原样堆叠，就像<a class="reference internal" href="numpy.hstack.html#numpy.hstack" title="numpy.hstack"><code class="xref py py-obj docutils literal"><span class="pre">hstack</span></code></a>。</span><span class="yiyi-st" id="yiyi-17">1-D数组首先变为2-D列。</span></p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name">
<col class="field-body">
<tbody valign="top">
<tr class="field-odd field"><th class="field-name"><span class="yiyi-st" id="yiyi-18">参数：</span></th><td class="field-body"><p class="first"><span class="yiyi-st" id="yiyi-19"><strong>tup</strong>：1-D或2-D数组的序列。</span></p>
<blockquote>
<div><p><span class="yiyi-st" id="yiyi-20">数组到堆栈。</span><span class="yiyi-st" id="yiyi-21">所有这些都必须具有相同的第一维度。</span></p>
</div></blockquote>
</td>
</tr>
<tr class="field-even field"><th class="field-name"><span class="yiyi-st" id="yiyi-22">返回：</span></th><td class="field-body"><p class="first"><span class="yiyi-st" id="yiyi-23"><strong>堆叠</strong>：2-D数组</span></p>
<blockquote class="last">
<div><p><span class="yiyi-st" id="yiyi-24">通过堆叠给定数组形成的数组。</span></p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
<div class="admonition seealso">
<p class="first admonition-title"><span class="yiyi-st" id="yiyi-25">也可以看看</span></p>
<p class="last"><span class="yiyi-st" id="yiyi-26"><a class="reference internal" href="numpy.hstack.html#numpy.hstack" title="numpy.hstack"><code class="xref py py-obj docutils literal"><span class="pre">hstack</span></code></a>，<a class="reference internal" href="numpy.vstack.html#numpy.vstack" title="numpy.vstack"><code class="xref py py-obj docutils literal"><span class="pre">vstack</span></code></a>，<a class="reference internal" href="numpy.concatenate.html#numpy.concatenate" title="numpy.concatenate"><code class="xref py py-obj docutils literal"><span class="pre">concatenate</span></code></a></span></p>
</div>
<p class="rubric"><span class="yiyi-st" id="yiyi-27">例子</span></p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">a</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">b</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">,</span><span class="mi">4</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">column_stack</span><span class="p">((</span><span class="n">a</span><span class="p">,</span><span class="n">b</span><span class="p">))</span>
<span class="go">array([[1, 2],</span>
<span class="go">       [2, 3],</span>
<span class="go">       [3, 4]])</span>
</pre></div>
</div>
</dd></dl>
